========================================================================= 
Log Path: ./log/s1.log 
Program Path: /Users/amanda/Dropbox/Order Paper/Replication/Log.R 
Working Directory: /Users/amanda/Dropbox/Order Paper/Replication 
User Name: amanda 
R Version: 4.4.1 (2024-06-14) 
Machine: Amandas-MacBook-Pro.local arm64 
Operating System: Darwin 24.0.0 Darwin Kernel Version 24.0.0: Tue Sep 24 23:39:07 PDT 2024; root:xnu-11215.1.12~1/RELEASE_ARM64_T6000 
Base Packages: stats graphics grDevices utils datasets methods base 
Other Packages: lubridate_1.9.3 forcats_1.0.0 stringr_1.5.1 dplyr_1.1.4 purrr_1.0.2 readr_2.1.5 tidyr_1.3.1 tibble_3.2.1 ggplot2_3.5.1 tidyverse_2.0.0 equivtest_0.0.0.9000 sandwich_3.1-0 stargazer_5.2.3 effectsize_0.8.9 plm_2.6-4 pwr_1.3-0 logr_1.3.8 common_1.1.3 
Log Start Time: 2025-02-03 11:46:45.130948 
========================================================================= 


======================================================
                             Dependent variable:      
                       -------------------------------
                       Level of Racial Resentment (RR)
------------------------------------------------------
Placement of RR = Post             -0.012             
                                   (0.017)            
                                  p = 0.488           
                                                      
Constant                          0.512***            
                                 (0.013)***           
                                  p = 0.000           
                                                      
------------------------------------------------------
Observations                         881              
R2                                  0.001             
Adjusted R2                        -0.001             
Residual Std. Error           0.259 (df = 879)        
F Statistic                  0.481 (df = 1; 879)      
======================================================
Note:                    *p<0.05; **p<0.01; ***p<0.001

====================================================
                            Dependent variable:     
                       -----------------------------
                         Support for Goals of BLM   
----------------------------------------------------
Placement of RR = Post             0.033            
                                  (0.020)           
                                 p = 0.094          
                                                    
Constant                         0.572***           
                                (0.014)***          
                                 p = 0.000          
                                                    
----------------------------------------------------
Observations                        885             
R2                                 0.003            
Adjusted R2                        0.002            
Residual Std. Error          0.291 (df = 883)       
F Statistic                 2.799 (df = 1; 883)     
====================================================
Note:                  *p<0.05; **p<0.01; ***p<0.001

==================================================
                          Dependent variable:     
                     -----------------------------
                       Support for Goals of BLM   
--------------------------------------------------
Treatment = Feminist             0.051            
                                (0.028)           
                               p = 0.070          
                                                  
Placement = Post                 0.041            
                                (0.027)           
                               p = 0.133          
                                                  
Post x Feminist                 -0.014            
                                (0.039)           
                               p = 0.713          
                                                  
Constant                       0.546***           
                              (0.020)***          
                               p = 0.000          
                                                  
--------------------------------------------------
Observations                      885             
R2                               0.009            
Adjusted R2                      0.005            
Residual Std. Error        0.291 (df = 881)       
F Statistic               2.590 (df = 3; 881)     
==================================================
Note:                *p<0.05; **p<0.01; ***p<0.001

	Welch Two Sample t-test

data:  blm_dat$goals[blm_dat$condition == "Pre Feminist"] and blm_dat$goals[blm_dat$condition == "Post Feminist"]
t = -0.97317, df = 442.98, p-value = 0.331
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.08158068  0.02754519
sample estimates:
mean of x mean of y 
0.5963303 0.6233480 


	Welch Two Sample t-test

data:  blm_dat$goals[blm_dat$condition == "Pre Nationalist"] and blm_dat$goals[blm_dat$condition == "Post Nationalist"]
t = -1.5027, df = 430.68, p-value = 0.1337
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.09553374  0.01274815
sample estimates:
mean of x mean of y 
0.5457921 0.5871849 


	Welch Two Sample t-test

data:  blm_dat$goals[blm_dat$condition == "Pre Feminist"] and blm_dat$goals[blm_dat$condition == "Pre Nationalist"]
t = 1.8125, df = 416.46, p-value = 0.07064
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.004272376  0.105348768
sample estimates:
mean of x mean of y 
0.5963303 0.5457921 


	Welch Two Sample t-test

data:  blm_dat$goals[blm_dat$condition == "Post Feminist"] and blm_dat$goals[blm_dat$condition == "Post Nationalist"]
t = 1.3187, df = 461.17, p-value = 0.1879
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.01772674  0.09005302
sample estimates:
mean of x mean of y 
0.6233480 0.5871849 


=====================================================
                             Dependent variable:     
                        -----------------------------
                          Support for Goals of BLM   
-----------------------------------------------------
Pre x Feminist                      0.055            
                                   (0.044)           
                                  p = 0.212          
                                                     
Post x Nationalist                  0.050            
                                   (0.040)           
                                  p = 0.217          
                                                     
Racial Resentment (RR)            -0.639***          
                                 (0.054)***          
                                  p = 0.000          
                                                     
Post x Feminist                    -0.006            
                                   (0.061)           
                                  p = 0.917          
                                                     
RR x Pre x Feminist                 0.014            
                                   (0.088)           
                                  p = 0.876          
                                                     
RR x Post x Nationalist            -0.033            
                                   (0.081)           
                                  p = 0.686          
                                                     
RR x Post x Feminist               -0.010            
                                   (0.122)           
                                  p = 0.938          
                                                     
Constant                          0.865***           
                                 (0.027)***          
                                  p = 0.000          
                                                     
-----------------------------------------------------
Observations                         881             
R2                                  0.344            
Adjusted R2                         0.338            
Residual Std. Error           0.238 (df = 873)       
F Statistic                65.260*** (df = 7; 873)   
=====================================================
Note:                   *p<0.05; **p<0.01; ***p<0.001

	Welch Two Sample t-test

data:  blm_3tt$goals[blm_3tt$racial_condition == "Low_Pre Feminist"] and blm_3tt$goals[blm_3tt$racial_condition == "Low_Post Feminist"]
t = -1.8415, df = 207.84, p-value = 0.06697
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.120384600  0.004102549
sample estimates:
mean of x mean of y 
 0.717500  0.775641 


	Welch Two Sample t-test

data:  blm_3tt$goals[blm_3tt$racial_condition == "Low_Pre Nationalist"] and blm_3tt$goals[blm_3tt$racial_condition == "Low_Post Nationalist"]
t = -0.33337, df = 209.04, p-value = 0.7392
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.07265021  0.05163308
sample estimates:
mean of x mean of y 
0.6968085 0.7073171 


	Welch Two Sample t-test

data:  blm_3tt$goals[blm_3tt$racial_condition == "Low_Pre Feminist"] and blm_3tt$goals[blm_3tt$racial_condition == "Low_Pre Nationalist"]
t = 0.6343, df = 192, p-value = 0.5266
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.04365009  0.08503307
sample estimates:
mean of x mean of y 
0.7175000 0.6968085 


	Welch Two Sample t-test

data:  blm_3tt$goals[blm_3tt$racial_condition == "Low_Post Feminist"] and blm_3tt$goals[blm_3tt$racial_condition == "Low_Post Nationalist"]
t = 2.2449, df = 237.96, p-value = 0.0257
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 0.008366162 0.128281743
sample estimates:
mean of x mean of y 
0.7756410 0.7073171 


	Welch Two Sample t-test

data:  blm_3tt$goals[blm_3tt$racial_condition == "High_Pre Feminist"] and blm_3tt$goals[blm_3tt$racial_condition == "High_Post Feminist"]
t = 0.79899, df = 224.92, p-value = 0.4251
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.0441203  0.1042990
sample estimates:
mean of x mean of y 
0.4914530 0.4613636 


	Welch Two Sample t-test

data:  blm_3tt$goals[blm_3tt$racial_condition == "High_Pre Nationalist"] and blm_3tt$goals[blm_3tt$racial_condition == "High_Post Nationalist"]
t = -1.2877, df = 217.98, p-value = 0.1992
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.12177175  0.02552879
sample estimates:
mean of x mean of y 
0.4080189 0.4561404 


	Welch Two Sample t-test

data:  blm_3tt$goals[blm_3tt$racial_condition == "High_Pre Feminist"] and blm_3tt$goals[blm_3tt$racial_condition == "High_Pre Nationalist"]
t = 2.2427, df = 220.96, p-value = 0.02591
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 0.01011663 0.15675162
sample estimates:
mean of x mean of y 
0.4914530 0.4080189 


	Welch Two Sample t-test

data:  blm_3tt$goals[blm_3tt$racial_condition == "High_Post Feminist"] and blm_3tt$goals[blm_3tt$racial_condition == "High_Post Nationalist"]
t = 0.1381, df = 222, p-value = 0.8903
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -0.06931492  0.07976149
sample estimates:
mean of x mean of y 
0.4613636 0.4561404 


     Balanced one-way analysis of variance power calculation 

              k = 2
              n = 442
              f = 0.09434825
      sig.level = 0.05
          power = 0.8

NOTE: n is number in each group

Equivalence t-test 
Input: eps_std,  SE = 0.017
T-statistic critical interval: -0.694 to 0.694 
Substantive equivalence CI: -0.041 to 0.041 
Standardized equivalence CI: -0.157 to 0.157 
Reject the null hypothesis? TRUE, p-value of 0.05
Equivalence t-test 
Input: eps_std,  SE = 0.02
T-statistic critical interval: -1.682 to 1.682 
Substantive equivalence CI: -0.065 to 0.065 
Standardized equivalence CI: -0.223 to 0.223 
Reject the null hypothesis? TRUE, p-value of 0.049
Equivalence t-test 
Input: eps_std,  SE = 0.028
T-statistic critical interval: -0.982 to 0.982 
Substantive equivalence CI: -0.073 to 0.073 
Standardized equivalence CI: -0.248 to 0.248 
Reject the null hypothesis? TRUE, p-value of 0.049
Equivalence t-test 
Input: eps_std,  SE = 0.028
T-statistic critical interval: -1.5 to 1.5 
Substantive equivalence CI: -0.087 to 0.087 
Standardized equivalence CI: -0.301 to 0.301 
Reject the null hypothesis? TRUE, p-value of 0.05
Equivalence t-test 
Input: eps_std,  SE = 0.028
T-statistic critical interval: -1.814 to 1.814 
Substantive equivalence CI: -0.096 to 0.096 
Standardized equivalence CI: -0.338 to 0.338 
Reject the null hypothesis? TRUE, p-value of 0.05
Equivalence t-test 
Input: eps_std,  SE = 0.027
T-statistic critical interval: -1.329 to 1.329 
Substantive equivalence CI: -0.081 to 0.081 
Standardized equivalence CI: -0.275 to 0.275 
Reject the null hypothesis? TRUE, p-value of 0.049
Equivalence t-test 
Input: eps_std,  SE = 0.032
T-statistic critical interval: -1.846 to 1.846 
Substantive equivalence CI: -0.11 to 0.11 
Standardized equivalence CI: -0.476 to 0.476 
Reject the null hypothesis? TRUE, p-value of 0.05
Equivalence t-test 
Input: eps_std,  SE = 0.032
T-statistic critical interval: -0.331 to 0.331 
Substantive equivalence CI: -0.059 to 0.059 
Standardized equivalence CI: -0.253 to 0.253 
Reject the null hypothesis? TRUE, p-value of 0.05
Equivalence t-test 
Input: eps_std,  SE = 0.033
T-statistic critical interval: -0.635 to 0.635 
Substantive equivalence CI: -0.074 to 0.074 
Standardized equivalence CI: -0.325 to 0.325 
Reject the null hypothesis? TRUE, p-value of 0.05
Equivalence t-test 
Input: eps_std,  SE = 0.03
T-statistic critical interval: -2.244 to 2.244 
Substantive equivalence CI: -0.119 to 0.119 
Standardized equivalence CI: -0.503 to 0.503 
Reject the null hypothesis? TRUE, p-value of 0.05
Equivalence t-test 
Input: eps_std,  SE = 0.038
T-statistic critical interval: -0.8 to 0.8 
Substantive equivalence CI: -0.092 to 0.092 
Standardized equivalence CI: -0.324 to 0.324 
Reject the null hypothesis? TRUE, p-value of 0.05
Equivalence t-test 
Input: eps_std,  SE = 0.037
T-statistic critical interval: -1.296 to 1.296 
Substantive equivalence CI: -0.11 to 0.11 
Standardized equivalence CI: -0.395 to 0.395 
Reject the null hypothesis? TRUE, p-value of 0.049
Equivalence t-test 
Input: eps_std,  SE = 0.037
T-statistic critical interval: -2.234 to 2.234 
Substantive equivalence CI: -0.145 to 0.145 
Standardized equivalence CI: -0.521 to 0.521 
Reject the null hypothesis? TRUE, p-value of 0.05
Equivalence t-test 
Input: eps_std,  SE = 0.038
T-statistic critical interval: -0.142 to 0.142 
Substantive equivalence CI: -0.048 to 0.048 
Standardized equivalence CI: -0.168 to 0.168 
Reject the null hypothesis? TRUE, p-value of 0.049
========================================================================= 
Log End Time: 2025-02-03 11:46:57.22439 
Log Elapsed Time: 0 00:00:12 
========================================================================= 
